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knowledge-absorber

Extract and verify key claims from URLs, PDFs, DOC/DOCX, and images into structured teaching notes.

Updated Apr 6, 2026
Search Tags:#ocr#markdown#multimodal#docx#truth-anchoring#knowledge-absorber#teaching-notes
One-click install
npx skills add https://github.com/fantay0312/fantayspec --skill knowledge-absorber-fantay0312
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: knowledge-absorber
Source: https://github.com/fantay0312/fantayspec/tree/main/shared/skills/skills-all/knowledge-absorber
Command: npx skills add https://github.com/fantay0312/fantayspec --skill knowledge-absorber-fantay0312

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, beautifulsoup4, html2text, python-docx, pypdf, rapidocr_onnxruntime, opencv-python-headless, Pillow, pywin32, tqdm, rich, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill deeply analyzes links, documents, or code to generate mentor-grade teaching notes, with built-in truth anchoring to identify hallucinations and outdated information.

Core Features & Use Cases

  • Content ingestion with clean extraction from websites and documents, including OCR for multimodal data.
  • Truth anchoring and calibration to validate claims and surface flagged issues.
  • Load persona and generate structured, accessible teaching notes that blend explanations, examples, and mnemonics.
  • Multimodal support: URLs, PDFs, DOC/DOCX, images, and more; outputs in Markdown and HTML for knowledge bases.
  • Suitable for education, research, and knowledge transfer, enabling rapid creation of comprehensive teaching notes from diverse sources.

Quick Start

Provide a URL or document, then run knowledge-absorber to generate mentor-grade teaching notes.

Frequently Asked Questions about knowledge-absorber

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate teaching notes from a PDF or DOCX file?▼

To generate teaching notes from a PDF or DOCX, provide the document. It extracts content, verifies key claims through truth anchoring, and outputs structured mentor-grade notes in Markdown or HTML.

Can I extract text from images using OCR to create structured markdown notes?▼

Yes, you can extract text from images using OCR to create structured markdown notes. The system processes multimodal inputs, applying OCR to verify claims and generate accessible teaching materials.

What is truth anchoring and how does it prevent hallucinations in research notes?▼

Truth anchoring is a validation mechanism that cross-references extracted claims to prevent hallucinations in research notes. It calibrates source content, flags conflicts, and ensures knowledge transfer accuracy.

Does this tool support extracting content from URLs into HTML knowledge bases?▼

Yes, this tool supports extracting content from URLs into HTML knowledge bases. It ingests web pages, cleans source HTML, and outputs dual-format Markdown or HTML teaching notes.

What is the best way to convert web links and documents into mentor-grade study guides?▼

The best way to convert web links and documents into mentor-grade study guides is using an ingestion pipeline with truth anchoring. This validates claims and applies personas to generate structured explanations.

Are there limitations when processing multimodal documents for knowledge transfer?▼

Limitations when processing multimodal documents for knowledge transfer include potential OCR inaccuracies in images and source URL accessibility, which the truth anchoring feature flags during QA checks.

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